Job Description
THE OPPORTUNITY
- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Lead an Organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats.
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What will you do in the role:
- Collaborate with product line teams to design and implement cohesive architecture solutions that enable cross-product integration, spanning ingestion, governance, analytics, and visualization.
- Develop, maintain, and advocate for reusable reference architectures that align with organizational goals and industry standards.
- Lead technical POCs and POVs to evaluate new technologies, tools, and methodologies, providing actionable recommendations.
- Diagnose and resolve complex technical architecture issues, ensuring stability, scalability, and performance across platforms.
- Implement and maintain frameworks to monitor data quality, lineage, and reliability across data pipelines.
- Contribute to the design and implementation of an enterprise data marketplace to facilitate self-service data discovery, analytics, and consumption.
- Oversee and extend the use of Collibra or similar tools to enhance metadata management, data governance, and cataloging across the enterprise.
- Monitor emerging industry trends in data and analytics (e.g., AI/ML, data engineering, cloud platforms) and identify opportunities to incorporate them into our ecosystem.
- Work closely with data engineers, data scientists, and other architects to ensure alignment with the enterprise architecture strategy.
- Create and maintain technical documentation, including architecture diagrams, decision records, and POC/POV results.
What Should you have:
- Strong experience with Databricks, Dataiku, Starburst and related data engineering/analytics platforms.
- Proficiency in AWS cloud platforms and AWS Data and Analytics technologies
- Knowledge of modern data architecture patterns like data Lakehouse, data mesh, or data fabric.
- Hands-on experience with Collibra or similar data catalog tools for metadata management and governance.
- Familiarity with data observability tools and frameworks to monitor data quality and reliability.
- Experience contributing to or implementing enterprise data marketplaces, including facilitating self-service data access and analytics.
- Exposure to designing and implementing scalable, distributed architectures.
- Proven experience in diagnosing and resolving technical issues in complex systems.
- Passion for exploring and implementing innovative tools and technologies in data and analytics.
- 3–5 years of total experience in data engineering, analytics, or architecture roles.
- Hands-on experience with developing ETL pipelines with DBT, Matillion and Airflow.
- Experience with data modeling, and data visualization tools (e.g., ThoughtSpot, Power BI).
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, cross-functional environment.
- Focus on continuous learning and professional growth.
Preferred Skills:
- Certification in Databricks, Dataiku, or a major cloud platform.
- Experience with orchestration tools like Airflow or Prefect.
- Understanding of AI/ML workflows and platforms.
- Exposure to frameworks like Apache Spark or Kubernetes.
What we look for:
Current Contingent Workers apply
Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs
Preferred Skills:
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